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Showing 1 - 20 results of 28 for search '(("data processing algorithm") OR ((("element ore algorithm") OR ("element g algorithm"))))', query time: 0.51s Refine Results
  1. 1
    The reconstructed sectioned images of the pollen grain by the proposed SHT algorithm (a), and the FABEMD-HS algorithm (b).

    The reconstructed sectioned images of the pollen grain by the proposed SHT algorithm (a), and the FABEMD-HS algorithm (b). by Xing Zhou (469137)

    Published 2015
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  2. 2
    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right).

    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right). by Xing Zhou (469137)

    Published 2015
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  3. 3
    Flowcharts of the FABMED-HS algorithm (left side) and the SHT algorithm (right side).

    Flowcharts of the FABMED-HS algorithm (left side) and the SHT algorithm (right side). by Xing Zhou (469137)

    Published 2015
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  4. 4
    Raw image frames (a) (b) under structured illumination of the pollen grain with phase-shift by 2π/3, and the input image (c) obtained by subtracting (a) and (b).

    Raw image frames (a) (b) under structured illumination of the pollen grain with phase-shift by 2π/3, and the input image (c) obtained by subtracting (a) and (b). by Xing Zhou (469137)

    Published 2015
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  5. 5
    Scheme of the DMD-based LED-illumination optical sectioning SIM system.

    Scheme of the DMD-based LED-illumination optical sectioning SIM system. by Xing Zhou (469137)

    Published 2015
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  6. 6
    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right).

    3-D reconstructed images of the mixed pollen grains by using the RMS algorithm (Left) and the SHT algorithm (Right). by Xing Zhou (469137)

    Published 2015
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  7. 7
    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY

    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY by Brian E. Coggins (2023777)

    Published 2016
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  8. 8
    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY

    Rapid Protein Global Fold Determination Using Ultrasparse Sampling, High-Dynamic Range Artifact Suppression, and Time-Shared NOESY by Brian E. Coggins (2023777)

    Published 2016
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  9. 9
    Metabolomic Analysis and Visualization Engine for LC−MS Data

    Metabolomic Analysis and Visualization Engine for LC−MS Data by Eugene Melamud (62396)

    Published 2010
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  10. 10
    Metabolomic Analysis and Visualization Engine for LC−MS Data

    Metabolomic Analysis and Visualization Engine for LC−MS Data by Eugene Melamud (62396)

    Published 2010
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  11. 11
    iForest-LLE algorithm implementation.

    iForest-LLE algorithm implementation. by Bo Yu (241082)

    Published 2020
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  12. 12
    Ac distribution and changes in the detection model in the node system under different attack intensities.

    Ac distribution and changes in the detection model in the node system under different attack intensities. by Bo Yu (241082)

    Published 2020
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  13. 13
    S1 Data -

    S1 Data - by Bo Yu (241082)

    Published 2020
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  14. 14
    Implementation of the model checking process.

    Implementation of the model checking process. by Bo Yu (241082)

    Published 2020
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  15. 15
    Distribution and changes of iForest ROC curve.

    Distribution and changes of iForest ROC curve. by Bo Yu (241082)

    Published 2020
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  16. 16
    Comparison of Ac distribution and changes of several detection algorithms.

    Comparison of Ac distribution and changes of several detection algorithms. by Bo Yu (241082)

    Published 2020
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  17. 17
    Implementation of FDIAs attack detection model based on CNN-GRU hybrid network.

    Implementation of FDIAs attack detection model based on CNN-GRU hybrid network. by Bo Yu (241082)

    Published 2020
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  18. 18
    Changes in state estimates before and after a node system undergoing an attack.

    Changes in state estimates before and after a node system undergoing an attack. by Bo Yu (241082)

    Published 2020
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  19. 19
    Spectra (a) and coherence (b) in 4 time intervals.

    Spectra (a) and coherence (b) in 4 time intervals. by Irina Mizeva (10884996)

    Published 2021
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  20. 20
    Averaged spectra (a) and coherence (b) of LSCI perfusion curves obtained at different <i>roi</i> during the VOT; green colour indicates data obtained during the SR, red—during the VOT, blue—during the SR after the VOT.

    Averaged spectra (a) and coherence (b) of LSCI perfusion curves obtained at different <i>roi</i> during the VOT; green colour indicates data obtained during the SR, red—during the... by Irina Mizeva (10884996)

    Published 2021
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